Cover

Copyright

Credits

Preface

Table of Contents

Module 1: Learning Qlik Sense: The Official Guide Second Edition

Chapter 1: Qlik Sense® and Data Discovery

Continuing disruption

Qlik Sense® and the QlikView.Next project

What is data discovery?

The Qlik® way

Data discovery—the evolution of BI

Summary

Chapter 2: Overview of a Qlik Sense® Application's Life Cycle

Overview of an application's life cycle

Summary

Chapter 3: Empowering Next Generation Data Discovery Consumers

Data discovery consumption requirements

Summary

Chapter 4: Contributing to Data Discovery

Realities of the data discovery contributor

Creating and sharing stories

Summary

Chapter 5: Authoring Engaging Applications

Preparations and requirements

Getting started with the app creation

Loading your data

The analysis interface—sheets and visualizations

The application library

Best practices in data visualization

Migrating applications from QlikView® to Qlik Sense®

Publishing your apps

Summary

Chapter 6: Building Qlik Sense® Data Models

The QIX engine

The Qlik Sense® data model

Structuring your data

The data model viewer

Summary

Chapter 7: Qlik Sense® Apps in the Cloud

Why use the cloud?

Using Qlik Sense® apps in the cloud

Using the Qlik DataMarket® content

Adding the QlikMarket® data

Summary

Chapter 8: Extending the Qlik® Analytic Platform

Qlik® Dev Hub

Developer community – Qlik Branch

Summary

Chapter 9: Administering Qlik Sense®

The Qlik Sense® architecture

Deployment and licensing

Management and monitoring

Security

Summary

Chapter 10: Sales Discovery

The business problem

Application features

Summary

Chapter 11: Human Resource Discovery

The business problem

Application features

How the application was developed

Summary

Chapter 12: Travel Expense Discovery

The business problem

Application features

Developing the application

Summary

Chapter 13: Demographic Data Discovery

Problem analysis

Application features

How the application was developed

Summary

Module 2: Qlik Sense Cookbook

Chapter 1: Getting Started with the Data

Introduction

Extracting data from databases and data files

Extracting data from Web Files

Activating the Legacy Mode in Qlik Sense® desktop

Extracting data from custom databases

Invoking help while in the data load editor or the expression editor

Previewing data in the Data model viewer

Creating a Master Library from the Data model viewer

Using a Master Library in the Edit mode

Chapter 2: Visualizations

Introduction

Creating Snapshots

Creating and adding content to a story

Adding embedded sheets to the story

Highlighting the performance measure in a bar chart

Associating persistent colors to field values

Using the ColorMix1 function

Composition

Relationships

Comparison

Distribution

Structuring visualizations

Chapter 3: Scripting

Introduction

Structuring the script

Efficiently debugging the script

Packaging the code in script files

How to use sub routines in Qlik Sense®

Optimizing the UI calculation speed

Optimizing the reload time of the application

Using a For Each loop to load data from multiple files

Using the Concat function to store multiple field values in a single cell

Chapter 4: Managing Apps and User Interface

Introduction

Publishing a Qlik Sense® application created in Qlik Sense® desktop

Creating private, approved, and community sheets

Publishing a Qlik Sense® application to Qlik Sense® cloud

Creating geo maps in Qlik Sense®

Reference lines in Sales versus Target gauge chart

Effectively using the KPI object in Qlik Sense®

Creating Tree Maps

Creating dimensionless bar charts in Qlik Sense®

Adding Reference Lines to trendline charts

Creating text and images

Applying limitations to charts

Adding thumbnails – a clear environment

Navigating many data points in a scatter chart

Chapter 5: Useful Functions

Introduction

Using an extended interval match to handle Slowly Changing Dimensions

Using the Previous() function to identify the latest record for a dimensional value

Using the NetworkDays() function to calculate the working days in a calendar month

Using the Concat() function to display a string of field values as a dimension

Using the Minstring() function to calculate the age of the oldest case in a queue

Using the Rangesum() function to plot cumulative figures in trendline charts

Using the Fractile() function to generate quartiles

Using the FirstSortedValue() function to identify the median in a quartile range

Using the Declare and Derive functions to generate Calendar fields

Setting up a moving annual total figure

Using the For Each loop to extract files from a folder

Using the Peek() function to create a currency Exchange Rate Calendar

Using the Peek() function to create a Trial Balance sheet

Chapter 6: Set Analysis

Introduction

Cracking the syntax for Set Analysis

Using flags in Set Analysis

Using the = sign with variables in Set Analysis

Point in time using Set Analysis

Using comparison sets in Set Analysis

Using embedded functions in Set Analysis

Creating a multi-measure expression in Set Analysis

Using search strings inside a set modifier

Capturing a list of field values using a concat() function in Set Analysis

Using the element functions P() and E() in Set Analysis

Chapter 7: Extensions in Qlik Sense®

Introduction

Creating an HTML visualization extension for Qlik Sense®

Defining a Properties panel in Qlik Sense® visualizations

Creating custom components within Qlik Sense® visualizations

Using data with extensions

Chapter 8: What's New in Version 2.1.1?

Introduction

Using the visual exploration capability in Qlik Sense® 2.1.1

Defining variables in Qlik Sense®

Exporting stories to MS PowerPoint

Using the Qlik Dev Hub in Qlik Sense® 2.1.1

Using Extension editor in Qlik Dev Hub

Using Qlik Dev Hub to generate mashups

Embedding Qlik Sense® application on a website using a single configurator

Using the Qlik DataMarket

Creating dynamic charts in Qlik Sense®

Using Smart Search

Using smart data load profiling

Conclusion

Appendix

Keyboard shortcuts in Qlik Sense® Desktop

Module 3: Predictive Analytics Using Rattle and Qlik Sense

Chapter 1: Getting Ready with Predictive Analytics

Analytics, predictive analytics, and data visualization

Purpose of the book

Introducing R, Rattle, and Qlik Sense Desktop

Installing the environment

Downloading and installing Rattle

Installing Qlik Sense Desktop

Exploring Qlik Sense Desktop

Further learning

Summary

Chapter 2: Preparing Your Data

Datasets, observations, and variables

Loading data

Transforming data

Cleaning up

Exporting data

Further learning

Summary

Chapter 3: Exploring and Understanding Your Data

Text summaries

Visualizing distributions

Correlations among input variables

Further learning

Summary

Chapter 4: Creating Your First Qlik Sense Application

Customer segmentation and customer buying behavior

Loading data and creating a data model

Creating a simple data app

Associative logic

Creating charts

Analyzing your data

Further learning

Summary

Chapter 5: Clustering and Other Unsupervised Learning Methods

Machine learning – unsupervised and supervised learning

Further learning

Summary

Chapter 6: Decision Trees and Other Supervised Learning Methods

Partitioning datasets and model optimization

Decision Tree Learning

Entropy and information gain

Underfitting and overfitting

Using a Decision Tree to classify credit risks

Ensemble classifiers

Other models

Further learning

Summary

Chapter 7: Model Evaluation

Cross-validation

Regression performance

Measuring the performance of classifiers

Further learning

Summary

Chapter 8: Visualizations, Data Applications, Dashboards, and Data Storytelling

Data visualization in Qlik Sense

Data analysis, data applications, and dashboards

Data storytelling with Qlik Sense

Further learning

Summary

Chapter 9: Developing a Complete Application

Understanding the bike rental problem

Exploring the data with Qlik Sense

Creating a Qlik Sense App to control the activity

Using Rattle to forecast the demand

Model evaluation

Further learning

Summary

Bibliography

Index